Comments (20)
$ docker pull ascribe/image-match
Using default tag: latest
latest: Pulling from ascribe/image-match
efd26ecc9548: Already exists
a3ed95caeb02: Pull complete
d1784d73276e: Already exists
72e581645fc3: Already exists
9709ddcc4d24: Already exists
2d600f0ec235: Already exists
de1491f1bbd4: Pull complete
4becc568d2ff: Pull complete
b507fa79b579: Pull complete
cac748ede8ae: Pull complete
6dca416256a4: Pull complete
73e8a8ead95c: Pull complete
e1e6faea08b5: Pull complete
23079fda8772: Pull complete
dc166976597d: Pull complete
Digest: sha256:2fb7a9044d48ebcc2f37a09c93bd1cbe6305c13467da6384f40d07f166b281a1
Status: Downloaded newer image for ascribe/image-match:latest
from image-match.
I am unable to pull the docker file -- the issue may need to be reopened.
from image-match.
Yeah I see that it's gone, looks like ascribe organization has vanished. @excerebrose I have requested access to set up the dockerhub link to this repository. Then the references in the docs and docker-compose.yml
will have to be changed.
from image-match.
As noted above, you don't need to do any Docker anything. Try this (and only this):
git clone https://github.com/ascribe/image-match.git
cd image-match
python --version
# Hopefully it says Python 3.something, if not, create a Python 3.6 virtualenv and activate it
pip install numpy
pip install scipy
pip install .
and if that fails then please copy and paste the error messages here.
from image-match.
Yes sorry about this, we had some weird problem to link github and dockerhub for an automatic build.
I'll do my best to resolve this as soon as possible.
In the meantime if you clone this repo, you could build the image via the usual command, once in the image-match repo
docker build -t image-match .
but I'll get back to asap
from image-match.
@sbellem is this fixed?
from image-match.
Yes same here, please could you guys update the Docker repo?
from image-match.
from image-match.
Error response from daemon: pull access denied for ascribe/image-match, repository does not exist or may require 'docker login'
, now i try docker build -t image-match . , this ok?
from image-match.
Looks like Ascribe has deleted their dockerhub repositories. I have no control over that. Maybe @ttmc can tell us what happened?
Anyway, the best solution is for @excerebrose to add this to a EdjoLabs repository and update the references.
from image-match.
from image-match.
@rhsimplex is correct: ascribe (the Docker Hub organization) deleted all its repositories (in Docker Hub) and Docker images, so trying to do docker pull ascribe/something
won't work any more.
The old ascribe/image-match GitHub repository was transferred to EdjoLabs so it has a new name: EdjoLabs/image-match, i.e. this repository.
All the code is here. You don't need any Docker thingies or whatsits. Just git clone this repo then see the README.md file and the docs for help.
from image-match.
from image-match.
@fanyoujian I don't know what you tried or how it failed. If you can share that, then I might be able to help.
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from image-match.
from image-match.
@fanyoujian Is Elasticsearch running on your system (and healthy)? One way to check is to do this on the command line:
curl localhost:9200/
from image-match.
from image-match.
The information about an image must be in Elasticsearch or you'll never find it there.
If you want to search the whole World Wide Web for similar images, then try:
from image-match.
Same issue.
docker pull ascribe/image-match Using default tag: latest Error response from daemon: pull access denied for ascribe/image-match, repository does not exist or may require 'docker login': denied: requested access to the resource is denied
I can clone the repo, and then do this:
docker build -t image-match.
and it works to create the image:
You can now try the following:
docker pull wathik/image-match
and then:
docker run -it wathik/image-match /bin/bash
Let me know if that works for you.
from image-match.
Related Issues (20)
- skimage `imread` as_grey vs as_gray HOT 4
- Using Image-Match with Real-Time/Live/Video Stream? HOT 2
- Issue installing on python 3.7 conda env HOT 2
- cut_distance
- fails to pass a sanity check due to a bug in the windows runtime
- Failure when running this function through pytest
- Will the face search function be added?
- Mongo search is slow
- Is this still maintained? HOT 1
- New release compatible with Python 3.7
- Broken link to Pavlov in the readme
- Bulk insert of images on ElasticSearch
- Elasticsearch version conflict HOT 1
- Link to get 80M images is FORBIDDEN
- Fast Insert HOT 2
- setup.py fails when installing scikit-image everytime HOT 2
- Error on search_image HOT 3
- ValueError: the input array must have size 3 along `channel_axis`, got (923, 600) HOT 15
- Doesn't support Webp image format. HOT 1
- Whether to consider adding face search ?
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